If your system works in simulation but breaks in the real world,

the issue is usually data.

Rekna executes real-world data collection

for physical AI systems, based on clearly defined tasks,

environments, and deployment needs.

  • High-fidelity human demonstrations for imitation and policy learning.

  • Real execution data from robots
    operating under physical constraints.

We focus on building reliable real-world data pipelines for physical AI systems.
Our work prioritizes quality, consistency, and execution under real-world constraints.